MiMo-V2-Pro is $0.04 cheaper per 1M input tokens (3.8% lower; 1.04x difference).
API cost decision in 10 seconds
Qwen3.6 Max Preview vs MiMo-V2-Pro
Pick MiMo-V2-Pro when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick MiMo-V2-Pro when budget and context both matter.
On the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $4.16 for Qwen3.6 Max Preview, saving $1.66 (39.9% lower).
Cost-first pickMiMo-V2-Pro
Context-first pickMiMo-V2-Pro
Sample savings$1.6639.9%
10x traffic gap$16.6
MiMo-V2-Pro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $16.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
MiMo-V2-Pro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 Max Preview | MiMo-V2-Pro |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | MiMo-V2-Pro | $8.32 | $6.5 |
| Balanced workload | 1M input + 1M output | MiMo-V2-Pro | $7.28 | $4 |
| Output-heavy chatbot | 1M input + 5M output | MiMo-V2-Pro | $32.24 | $16 |
MiMo-V2-Pro is $3.24 cheaper per 1M output tokens (51.9% lower; 2.08x difference).
MiMo-V2-Pro has 786.43K more context (4x larger).
MiMo-V2-Pro is $1.66 cheaper on the standard workload (39.9% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
MiMo-V2-Pro has the lower input price; MiMo-V2-Pro has the lower output price; MiMo-V2-Pro offers the larger context window. For the 1M input plus 500K output sample, MiMo-V2-Pro is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $4.16 for Qwen3.6 Max Preview and $2.5 for MiMo-V2-Pro.
Choose Qwen3.6 Max Preview when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose MiMo-V2-Pro when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $4.16 for Qwen3.6 Max Preview, saving $1.66 (39.9% lower).
- MiMo-V2-Pro is $1.66 cheaper on the standard workload (39.9% lower).
- MiMo-V2-Pro is $0.04 cheaper per 1M input tokens (3.8% lower; 1.04x difference).
- MiMo-V2-Pro is $3.24 cheaper per 1M output tokens (51.9% lower; 2.08x difference).
- MiMo-V2-Pro has 786.43K more context (4x larger).
| Feature | Qwen3.6 Max Preview (Qwen) | MiMo-V2-Pro (Xiaomi) |
|---|---|---|
| Input Price prompt tokens per 1M | $1.04 | $1 |
| Completion Price per 1M tokens | $6.24 | $3 |
| Sample Workload Cost 1M input + 500K output | $4.16 | $2.5 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | MiMo-V2-Pro | On the standard 1M input plus 500K output workload, MiMo-V2-Pro is estimated at $2.5 vs $4.16 for Qwen3.6 Max Preview, saving $1.66 (39.9% lower). |
| High-volume input processing | MiMo-V2-Pro | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | MiMo-V2-Pro | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | MiMo-V2-Pro | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.6 Max Preview when lower sample workload cost matters most: $0.
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- Qwen2.5 7B Instruct can replace Qwen3.6 Max Preview when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 Max Preview when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
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- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
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Open Xiaomi modelsQwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters. It is optimized for agentic coding, tool use, and...
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like...